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Auto Rack Girders Assembly Holes Measurement Based on Multi-camera Vision

机译:基于多摄像机视觉的汽车大梁装配孔测量

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Since single camera's visual field is limited, the measurement method for auto rack girders assembly holes based on multi-group of binocular vision is proposed. The measurement area is divided into several subregions, the measurement data of each subregion is obtained from the binocular vision measurement system, and a larger planar target is used to achieve three-dimensional data registration among adjacent subregion. Since the texture information of truck side-member surface is not abundant, it is difficult to seek the match points on the edge of assembly holes. It is proposed that pasting marked points around the edge of assembly holes for seeking match points. Every two marked points can be connected into one line, and the intersections of the lines and assembly holes' edge are seen as match points. At last, the geometric parameters of spatial circle are fitted according to its geometrical properties. Experimental results show that the matching difficulty will be avoided effectively, the measurement error caused by perspective projection distortion can be reduced, and the method has higher measurement accuracy.
机译:由于单个摄像机的视野有限,提出了基于多组双目视觉的自动架梁装配孔测量方法。测量区域被分成几个子区域,每个子区域的测量数据是从双目视觉测量系统获得的,并且较大的平面目标用于在相邻子区域之间实现三维数据配准。由于卡车侧梁表面的纹理信息不丰富,因此很难在装配孔的边缘上找到匹配点。建议将标记点粘贴在装配孔的边缘周围以寻找匹配点。每两个标记点可以连接到一条直线上,并且直线和装配孔边缘的交点被视为匹配点。最后,根据其几何特性对空间圆的几何参数进行拟合。实验结果表明,该方法可以有效避免匹配困难,可以减少透视投影畸变引起的测量误差,具有较高的测量精度。

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